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Information Journal Paper

Title

Scenario Planning for Drivers of Talent Acquisition in Military Organizations Based on Combined Methodology of Thematic Analysis and Fuzzy Cognitive Mapping

Pages

  117-146

Abstract

 Background & Purpose: In the present era, military organizations require talented forces, not only to fill traditional roles, but also to lead Technology-driven, Cyber ​​defense, Joint, and Network-centric operations. Hence the current research was conducted to identify the drivers of talent acquisition and write possible scenarios in military organizations. Methodology: This manuscript is developmental-applied which was conducted by the descriptive-causal method. The data was collected by the field-library method and analyzed by the combined methodology of Thematic Analysis and Fuzzy cognitive mapping (in Python 3.11 and FCMapper software). The studied population includes all scientific texts and sources which have investigated the drivers of talent acquisition. In addition, the statistical population included the managers and expert professors of one of the military organizations who have scientific and executive experience in the identifying talents. 14 people has been selected using judgmental sampling. Findings: The findings demonstrated the drivers of talent acquisition in military organizations including, "Supportive organizational culture", "Ideal and technology-oriented work environment", "Opportunities for development and career advancement" and "Incentive compensation and well-being", "Strategic and social partnerships" and "social branding and reputation". In addition, the key factors effective in acquising talents and the Network Relation Map were determined based on recognizing the experts’ mind. Conclusion: The summary indicates four scenarios- "Talent Magnet," "Promising Horizon," "Shadow of Despair," and "Darkness of Attraction"- are conceivable for acquising talents in military organizations. It is essential which scenario-based planning be implemented for talents acquisition to prevent surprises for human capital management officials.

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